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Cited by 169

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Does Corporate Transparency Contribute to Efficient Resource Allocation?

FRANCIS, JERE R., HUANG, SHAWN, KHURANA, INDER K., PEREIRA, RAYNOLDE·2009·Journal of Accounting Research

Abstract

This paper examines whether a country's corporate transparency environment, which includes the quality of accounting information, contributes to efficient resource allocation. Based on a cross‐country study of 37 manufacturing industries in 37 countries, we provide three pieces of related evidence. First, we find the contemporaneous correlations in industry growth rates across country pairs are higher when there is a greater level of corporate transparency in the country pairs, after controlling for country‐level economic and financial development. Second, we find the influence of transparency on these correlations is stronger when country pairs are at similar levels of economic development (GDP). Finally, when we control for the level of transparency explained by a country's institutions in place, we find that residual transparency (unexplained by country‐level factors) is associated with industry‐specific growth rates. Taken together, the results are consistent with corporate transparency facilitating the allocation of resources across industry sectors.

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Metadata

Authors
FRANCIS, J. R., HUANG, S., KHURANA, I. K., & PEREIRA, R.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2009-07-16
Volume
47
Issue
4
Pages
943-989
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W2130173030
Cited by
169
References
7
FWCI
28.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Does Corporate Transparency Contribute to Efficient Resource Allocation? https://app.cochat.ai/papers/10.1111/j.1475-679x.2009.00340.x
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FRANCIS, J. R., HUANG, S., KHURANA, I. K., & PEREIRA, R. (2009). Does Corporate Transparency Contribute to Efficient Resource Allocation? Journal of Accounting Research. https://doi.org/10.1111/j.1475-679x.2009.00340.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.